How to integrate FuseDesk MCP with LangChain

This guide walks you through connecting FuseDesk to LangChain using the Composio tool router. By the end, you'll have a working FuseDesk agent that can create support cases, view case details, add case notes, tag cases, and merge duplicate cases through natural language commands. This guide will help you understand how to give your LangChain agent real control over a FuseDesk account through Composio's FuseDesk MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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FuseDesk is a customer support platform for managing cases, email conversations, contacts, departments, representatives, chats, and webhooks. It helps support teams keep customer conversations organized so issues get routed, tracked, and resolved faster.

27 Tools

Introduction

This guide walks you through connecting FuseDesk to LangChain using the Composio tool router. By the end, you'll have a working FuseDesk agent that can create support cases, view case details, add case notes, tag cases, and merge duplicate cases through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a FuseDesk account through Composio's FuseDesk MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your FuseDesk project to Composio
  • Create a Tool Router MCP session for FuseDesk
  • Initialize an MCP client and retrieve FuseDesk tools
  • Build a LangChain agent that can interact with FuseDesk
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

What is the FuseDesk MCP server, and what's possible with it?

The FuseDesk MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your FuseDesk account. It provides structured and secure access to support cases, email conversations, contacts, departments, representatives, chats, and webhooks, so your agent can create and update cases, reply to customers, manage contacts, monitor chats, and review support activity on your behalf.

  • Case creation and management: Have your agent open support cases, update their content or status, change tags, add internal notes, snooze follow-ups, and merge related cases.
  • Customer replies and email review: Let the agent search support emails, read complete messages, and send replies to customers from the appropriate case.
  • Contact and team coordination: Direct your agent to create, find, and update contacts, review departments, and check representative profiles when deciding where work belongs.
  • Chat monitoring and handling: Instruct your agent to list active chats, read conversation histories, transfer or rename chats, mark them seen or unseen, and close completed conversations.
  • Support oversight and automation review: Have your agent search cases by customer, assignment, status, text, or date, apply bulk changes, review case tags, and list configured webhook subscriptions.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with FuseDesk functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to FuseDesk tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['fusedesk']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to FuseDesk tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use FuseDesk tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "fusedesk-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our FuseDesk MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available FuseDesk tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any FuseDesk related question or task to the agent.\n");

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with FuseDesk and LangChain:

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['fusedesk']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "fusedesk-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any FuseDesk related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

Conclusion

You've successfully built a LangChain agent that can interact with FuseDesk through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
TOOLS

Supported Tools

Every FuseDesk action and event your agent gets out of the box.

Add Case Note

Add an internal note or call record to a case and optionally change its status.

Bulk Merge Cases

Irreversibly merge multiple FuseDesk cases.

Bulk Update Cases

Apply an assignment, department, status, tag, CRM automation, CRM tag, or snooze operation to multiple FuseDesk cases.

Change Case Tag

Apply or remove one existing case tag from one FuseDesk case.

Close Chat

Irreversibly close a FuseDesk chat and end the live conversation.

Create Case

Open a support case for a customer in a FuseDesk department.

Create Case Tag

Create a reusable FuseDesk case tag.

Create Contact

Create a FuseDesk contact.

Get Case

Get one FuseDesk support case and its complete history by case ID.

Get Chat

Get one FuseDesk chat and its complete message history by chat UUID.

Get Contact

Get a FuseDesk contact by UUID, including current data from its linked CRM contact.

Get Department

Get a FuseDesk department's assignment, template, staleness, feedback, phone, and archive settings by department ID.

Get Email

Get one FuseDesk email by its numeric ID, including its complete body.

Get Rep

Get a FuseDesk rep's detailed profile, permissions, and signatures.

List Case Tags

List available FuseDesk case tags and their case counts.

List Chats

List active FuseDesk chats across connected chat platforms, including assignment links, recent-message context, and lifecycle state.

List Departments

List active, archived, or all FuseDesk departments using the current v2 representation.

List Reps

List active and disabled FuseDesk reps for assignment and ownership decisions.

List Webhooks

List configured FuseDesk webhook subscriptions.

Reply To Case

Send an external email reply on a FuseDesk case using supplied content or an existing reply template.

Search Cases

Search support cases by customer, assignment, status, text, and lifecycle dates, returning one controllable page.

Search Contacts

Search FuseDesk and linked CRM contacts by required text.

Search Emails

Search all or only unassigned FuseDesk emails, returning one controllable page with optionally truncated bodies.

Snooze Case

Snooze a case until an absolute date/time or FuseDesk relative-time expression.

Update Case

Change a case's content, customer link, assignment, department, or status.

Update Chat

Rename, transfer, relink, or mark a live FuseDesk chat seen or unseen.

Update Contact

Update a FuseDesk contact.

FRAMEWORKS

How to build FuseDesk MCP Agent with another framework

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OpenAI Agents SDK

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Claude Agent SDK logo

Claude Agent SDK

Use FuseDesk MCP with Claude Agent SDK

Claude Code logo

Claude Code

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Claude Cowork logo

Claude Cowork

Use FuseDesk MCP with Claude Cowork

Codex logo

Codex

Use FuseDesk MCP with Codex

OpenClaw logo

OpenClaw

Use FuseDesk MCP with OpenClaw

Hermes logo

Hermes

Use FuseDesk MCP with Hermes

CLI logo

CLI

Use FuseDesk MCP with CLI

Google ADK logo

Google ADK

Use FuseDesk MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use FuseDesk MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use FuseDesk MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use FuseDesk MCP with LlamaIndex

CrewAI logo

CrewAI

Use FuseDesk MCP with CrewAI

FAQ

Frequently asked questions

With a standalone FuseDesk MCP server, the agents and LLMs can only access a fixed set of FuseDesk tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from FuseDesk and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. LangChain fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right FuseDesk tools.

Yes, absolutely. You can configure which FuseDesk scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your FuseDesk data and credentials are handled as safely as possible.

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